The yield on China 10Y Bond Yield rose to 1.69% on June 6, 2025, marking a 0.01 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.05 points, though it remains 0.61 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. China 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on June of 2025.

Chinese government bond yields decreased between April 2024 and April 2025. For instance, the 1-year bond yield went from 1.72 percent to 1.42 percent, and the 30-year yield dropped from 2.33 percent to 1.87 percent. The decrease in yields was consistent across both short- and long-term maturities during this period.

China 30 Year Bond Yield was 1.90 percent on Wednesday May 28, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for China 30Y.

China Bond Yield: Treasury Bond: 10 Year data was reported at 1.679 % pa in 16 May 2025. This records a decrease from the previous number of 1.680 % pa for 15 May 2025. China Bond Yield: Treasury Bond: 10 Year data is updated daily, averaging 3.254 % pa from Mar 2006 (Median) to 16 May 2025, with 4806 observations. The data reached an all-time high of 4.722 % pa in 20 Nov 2013 and a record low of 1.596 % pa in 06 Feb 2025. China Bond Yield: Treasury Bond: 10 Year data remains active status in CEIC and is reported by China Central Depository & Clearing Co., Ltd. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MF: PBC & CCDC: Treasury Bond and Other Bond Yield: Daily.

As of April 16, 2025, the Chinese bond market displayed a positive spread of 22.4 basis points between 10-year and 2-year yields, indicating long-term rates well above short-term ones. The 5-year versus 2-year spread was also positive, at 7.4 basis points.

Historical price and volatility data for Chinese Yuan Renminbi in Curve.fi gDAI/gUSDC/gUSDT across different time periods.

The Gross Domestic Product (GDP) in China was worth 17794.78 billion US dollars in 2023, according to official data from the World Bank. The GDP value of China represents 16.88 percent of the world economy. This dataset provides - China GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

China Bond Yield: Treasury Bond: 3 Month data was reported at 1.395 % pa in 16 May 2025. This records an increase from the previous number of 1.390 % pa for 15 May 2025. China Bond Yield: Treasury Bond: 3 Month data is updated daily, averaging 2.304 % pa from Mar 2006 (Median) to 16 May 2025, with 4806 observations. The data reached an all-time high of 5.113 % pa in 21 Jun 2013 and a record low of 0.782 % pa in 25 Dec 2024. China Bond Yield: Treasury Bond: 3 Month data remains active status in CEIC and is reported by China Central Depository & Clearing Co., Ltd. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MF: PBC & CCDC: Treasury Bond and Other Bond Yield: Daily. [COVID-19-IMPACT]

China gdp growth rate for 2023 was 5.20%, a 2.21% increase from 2022.

<ul style='margin-top:20px;'>

<li>China gdp growth rate for 2022 was <strong>2.99%</strong>, a <strong>5.46% decline</strong> from 2021.</li>
<li>China gdp growth rate for 2021 was <strong>8.45%</strong>, a <strong>6.21% increase</strong> from 2020.</li>
<li>China gdp growth rate for 2020 was <strong>2.24%</strong>, a <strong>3.71% decline</strong> from 2019.</li>
</ul>Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.

Historical price and volatility data for Curve.fi FRAX/USDC in Chinese Yuan Renminbi across different time periods.

In 2024, the gross domestic product (GDP) of China amounted to around 18.7 trillion U.S. dollars. In comparison to the GDP of the other BRIC countries India, Russia and Brazil, China came first that year and second in the world GDP ranking. The stagnation of China's GDP in U.S. dollar terms in 2022 and 2023 was mainly due to the appreciation of the U.S. dollar. China's real GDP growth was 3.1 percent in 2022 and 5.4 percent in 2023. In 2024, per capita GDP in China reached around 13,300 U.S. dollars. Economic performance in China Gross domestic product (GDP) is a primary economic indicator. It measures the total value of all goods and services produced in an economy over a certain time period. China's economy used to grow quickly in the past, but the growth rate of China’s real GDP gradually slowed down in recent years, and year-on-year GDP growth is forecasted to range at only around four percent in the years after 2024. Since 2010, China has been the world’s second-largest economy, surpassing Japan.China’s emergence in the world’s economy has a lot to do with its status as the ‘world’s factory’. Since 2013, China is the largest export country in the world. Some argue that it is partly due to the undervalued Chinese currency. The Big Mac Index, a simplified and informal way to measure the purchasing power parity between different currencies, indicates that the Chinese currency yuan was roughly undervalued by 38 percent in 2024. GDP development Although the impressive economic development in China has led millions of people out of poverty, China is still not in the league of industrialized countries on the per capita basis. To name one example, the U.S. per capita economic output was more than six times as large as in China in 2024. Meanwhile, the Chinese society faces increased income disparities. The Gini coefficient of China, a widely used indicator of economic inequality, has been larger than 0.45 over the last decade, whereas 0.40 is the warning level for social unrest.

Basic fractal parameters of street network for 12 Chinese cities.

Historical price and volatility data for Chinese Yuan Renminbi in Curve.fi gDAI/gUSDC/gUSDT across different time periods.

This statistic shows the inequality of income distribution in China from 2005 to 2023 based on the Gini Index. In 2023, China reached a score of 46.5 (0.465) points. The Gini Index is a statistical measure that is used to represent unequal distributions, e.g. income distribution. It can take any value between 1 and 100 points (or 0 and 1). The closer the value is to 100 the greater is the inequality. 40 or 0.4 is the warning level set by the United Nations. The Gini Index for South Korea had ranged at about 0.32 in 2022. Income distribution in China The Gini coefficient is used to measure the income inequality of a country. The United States, the World Bank, the US Central Intelligence Agency, and the Organization for Economic Co-operation and Development all provide their own measurement of the Gini coefficient, varying in data collection and survey methods. According to the United Nations Development Programme, countries with the largest income inequality based on the Gini index are mainly located in Africa and Latin America, with South Africa displaying the world's highest value in 2022. The world's most equal countries, on the contrary, are situated mostly in Europe. The United States' Gini for household income has increased by around ten percent since 1990, to 0.47 in 2023. Development of inequality in China Growing inequality counts as one of the biggest social, economic, and political challenges to many countries, especially emerging markets. Over the last 20 years, China has become one of the world's largest economies. As parts of the society have become more and more affluent, the country's Gini coefficient has also grown sharply over the last decades. As shown by the graph at hand, China's Gini coefficient ranged at a level higher than the warning line for increasing risk of social unrest over the last decade. However, the situation has slightly improved since 2008, when the Gini coefficient had reached the highest value of recent times.

Surface wave is an energy-rich component of the seismic wavefield and has been widely employed in understanding underground structures due to its dispersive nature. One key work in improving the accuracy of dispersion curve measurement is selecting proper cycles and valid frequency ranges. Although manual selection could provide high-quality results, it is hardly possible to handle the explosive growth of seismic data. Conventional automatic approaches with the ability to handle massive datasets by their statistical features require prior assumptions and choices of parameters. However, these operations could not keep away from biases in empirical parameters and thus could not assure high-quality outputs, which might deteriorate the resolution of seismic inversion. To make good use of the waveform information, we develop a deep-learning-based neural network called ‘Surf-Net’. It extracts and selects the surface-wave dispersion curves directly from the waveform cross-correlations (CC) and distance information rather than from frequency-time transformed images or pre-extracted dispersion curves. Taking the velocity measurement task as an arrival time picking problem, Surf-Net is designed to output multiple-channel probability distributions in the time domain for target frequencies, which peak at the arrival times of valid frequencies and remain close to zero elsewhere. We train and test Surf-Net using observational data manually obtained from seismograms recorded by a regional network in Northeast China and synthetic data based on a global seismic velocity model. By comparing Surf-Net with the conventional method in both dispersion curves and inversion results, we show Surf-Net’s remarkable performance, robustness and potential for providing high-quality dispersion curves from massive datasets, especially in low frequencies.

The data is the results of source-sink matching for onshore aquifer sites and coal chemical factory in China.

The benchmark interest rate in China was last recorded at 3 percent. This dataset provides the latest reported value for - China Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Historical price and volatility data for Curve.fi FRAX/USDC in Chinese Yuan Renminbi across different time periods.

This study explores the subtleties of green economic growth in eastern China to address the challenges of rapid industrialization and environmental sustainability. The study aims to identify factors influencing green economic development and propose strategies to align economic growth with ecological balance. An evaluation index system has been established for industries’ green growth, resource and environmental sustaining function, and government policy support.

Discover the latest trends in the non-domestic heat exchange units market in China, with a forecasted growth in market volume to 15M units by 2035. Stay ahead of the curve with an anticipated CAGR of +3.3% for the period from 2024 to 2035, reaching a market value of $4.6B by the end of the forecast period.